Back ground: One out of six children in the
world today is involved in child labor, doing
work that is damaging to his or her mental,
physical and emotional development.
Objective: Assessment of some health
problems among the studied working children.
Method; A cross-sectional study was
conducted in Al Amen Primary Health Care
(PHCC) during the period from January to
August 2009, a sample of 6048 children were
selected randomly(3218girls and2866 boys age
between 5-17 years ) and interviewed to collect
information using a structured questionnaire
form, information related to different aspects
of child labor prevention were included in the
form as well as a general medical examination
and laboratory assessment.
Results:. The frequency of child labor was
10.95% among the children study, and the
detection of work related illnesses among
working children was observed in 402 working
children(60.36%).While work related accidents
was 264(39.63%).Both sexes showed
difference in frequency of labor (77% boys
and 23% girls).there was association
between malnutrition and child labor(x2
=64.11
,df=1,p-value<0.05)also such a association
with smoking habit (x2
=98.53,df=1,p-value
<0.05) .The highest frequency of child labor
(32%)was found among 15-17 years age group
of boys. While the highest frequency of child
labor (11.71%)was found among 9-11 years
age group of girls. Out of 666 working
children there are 26 child with lead
poisoning(3.90%).
Conclusion: Child labor can induce many
health problems among the studied working
children
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Cumhuriyet Üniversitesi Fen-Edebiyat Fakültesi Sosyal Bilimler Dergisi | Volume: 48 Issue: 2
The utilization of artificial intelligence techniques has garnered significant interest in recent research due to their pivotal role in enhancing the quality of educational offerings. This study investigated the impact of employing artificial intelligence techniques on improving the quality of educational services, as perceived by students enrolled in the College of Pharmacy at the University of Baghdad. The study sample comprised 379 male and female students. A descriptive-analytical approach was used, with a questionnaire as the primary tool for data collection. The findings indicated that the application of artificial intelligence methods was highly effective, and the educational services provided to students were of exceptional
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